Resources


Continue your journey as a data scientist.

There are an incredible number of online sources to help you in your path to become a data scientist. Here are a variety that you may find to be useful. If you find a resource that is particularly useful, please execute a pull request.

Python

Python for Data Science ipython github

OpenTechSchool’s Introduction to Data Processing with Python Data Structures

A Byte of Python Book

IPython Notebook

http://nbviewer.ipython.org/github/gumption/Python_for_Data_Science/blob/master/Python_for_Data_Science_all.ipynb

http://nbviewer.ipython.org/github/gumption/Python_for_Data_Science/blob/master/Python_for_Data_Science_all.ipynb

Natural Language Toolkit for Python
http://www.nltk.org/book/

R

Advanced R by Hadley Wickham [webpage] (http://adv-r.had.co.nz)
R book

Hands on Python

MOOCs

EDX Python Courses

Berkley Introduction to Spark Course